论文标题
多域合作SLAM：集成感应和通信的推动者
Multi-domain Cooperative SLAM: The Enabler for Integrated Sensing and Communications
论文作者
论文摘要
同时本地化和映射（SLAM）提供了用户跟踪和环境映射功能，从而使通信系统能够获得情境意识。具有超宽带，多个天线和大量连接的高级通信网络为感应和通信的深入整合提供了机会。首先，在本研究中审查了综合传感和通信（ISAC）的发展，ISAC和传统沟通之间的差异得到了揭示。然后，提出了多域协作大满贯的有效机制。特别是，提出了交叉感应，交叉用户，跨频和跨设备大满贯机制的研究机会和挑战。此外，明确讨论了大满贯的沟通策略。我们证明，基于混合感应和众包的多域合作大满贯机制可以通过数值分析在复杂的多径传播环境中大大提高定位和映射的准确性。此外，我们进行了测试式实验，以表明所提出的SLAM机制可以在实际情况下实现分解值级的定位和映射精度，从而证明了ISAC中多域协作大满贯的应用前景。
Simultaneous localization and mapping (SLAM) provides user tracking and environmental mapping capabilities, enabling communication systems to gain situational awareness. Advanced communication networks with ultra-wideband, multiple antennas, and a large number of connections present opportunities for deep integration of sensing and communications. First, the development of integrated sensing and communications (ISAC) is reviewed in this study, and the differences between ISAC and traditional communication are revealed. Then, efficient mechanisms for multi-domain collaborative SLAM are presented. In particular, research opportunities and challenges for cross-sensing, cross-user, cross-frequency, and cross-device SLAM mechanisms are proposed. In addition, SLAM-aided communication strategies are explicitly discussed. We prove that the multi-domain cooperative SLAM mechanisms based on hybrid sensing and crowdsourcing can considerably improve the accuracy of localization and mapping in complex multipath propagation environments through numerical analysis. Furthermore, we conduct testbed experiments to show that the proposed SLAM mechanisms can achieve decimeter-level localization and mapping accuracy in practical scenarios, thereby proving the application prospect of multi-domain collaborative SLAM in ISAC.
